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Remove duplicates from sorted array


Reading Time - 4 mins


Difficulty Level Easy

Problem Statement

“Remove duplicates from sorted array” states that you are given a sorted array of size N. You need to remove the duplicate elements from the array. Print the array containing unique elements after the removal of duplicate elements.

Example

Remove duplicates from sorted array

a [] = {1, 1, 1, 1}
{1}

Explanation: Since the input array contained only 1. The only distinct element is also only 1.

a [] = {1, 3, 3, 3, 4}
{1, 3, 4}

Explanation: The repeated 3 and 4 were removed, thus the resultant array has only {2, 3, 4}.

Approach

Here, we have taken an already sorted array as input. And now we need to remove duplicates. If the array was not sorted then it would have had numbers arranged in a random fashion. And then removal of duplicates would have been a time-consuming task. But since the numbers are already sorted in the array. So, we are sure that if the duplicates exist in the array they will be in a continuous fashion. That is we can pick a number and its duplicates and they will always exist as contiguous subarray. Using this fact we have two approaches, the first approach is a little bit space consuming but the second approach uses the initial array to reduce the space complexity. So, choosing any approach of the two depends on the task.

READ  Degree of an array

Iterative Method

Algorithm

1. Initialize an array of integer type of size n.
2. Check if n is equal to 0 or 1, return n.
3. Create another array of integer type of size n and an integer variable j as 0.
4. Traverse all the values of the original array one by one except the last element. If the value of the element at current index in array a[ ] is not equal to the value of the element at current index + 1 in array a[ ], store the element at current index in array a[ ] in new array at index j+1. 
5. Store the last element of the original array in the new array if it's unique.
6. Modify the original array by replacing its elements with the elements of new array.
7. Return the size of the new array.

Code to remove duplicates from a sorted array

C++ Program
#include<iostream> 
using namespace std; 
  
int deleteDuplicates(int a[], int n){ 
    if(n==0 || n==1) 
        return n; 
  
    int b[n], j = 0; 
    for (int i=0; i<n-1; i++) 
        // If current element is not equal 
        // to next element then store that 
        // in new array b[]
        if (a[i] != a[i+1]) 
            b[j++] = a[i]; 
  
    // Store the last element 
    b[j++] = a[n-1]; 
  
    // copy new array in original array 
    for (int i=0; i<j; i++) 
        a[i] = b[i]; 
  
    return j; 
} 
int main(){ 
    int a[] = {1, 2, 2, 3, 4, 4, 9}; 
    int n = sizeof(a) / sizeof(a[0]); 
    n = deleteDuplicates(a, n); 
    for (int i=0; i<n; i++) 
       cout<<a[i]<<" "; 
    return 0; 
}
1 2 3 4 9
Java Program
class delete{ 
    
    static int deleteDuplicates(int a[], int n){ 
        if(n==0 || n==1) 
            return n; 
       
        int[] b = new int[n]; 
          
        // Start traversing elements 
        int j = 0; 
        for (int i=0; i<n-1; i++) 
            // If current element is not equal 
            // to next element then store it 
            // in new array b[]
            if (a[i] != a[i+1]) 
                b[j++] = a[i]; 
          
        // Store the last element 
        b[j++] = a[n-1];    
          
        // copy new array in original array 
        for (int i=0; i<j; i++) 
            a[i] = b[i]; 
       
        return j; 
    } 
      
    public static void main (String[] args)  
    { 
        int a[]={1, 2, 2, 3, 4, 4, 9}; 
        int n = a.length; 
        n = deleteDuplicates(a, n); 
        for (int i=0; i<n; i++) 
           System.out.print(a[i]+" "); 
    } 
}
1 2 3 4 9

Complexity Analysis

Time Complexity

O(N), because we have once traversed the initial array.

READ  Construction of Longest Increasing Subsequence (N log N)
Space Complexity

O(N) because in the worst case when all elements are distinct, we will have to store N elements.

Space Efficient Method

Algorithm

1. Initialize an array of integer type of size n.
2. If n is equal to 0 or 1 return n.
3. Initialize another variable temp to store the index of the next unique element.
4. Traverse all the values of the original array one by one except the last element. If the value of the current element is not equal to the next element, store the current element at index temp in the array. 
5. Store the last element at index temp in the array if it's unique.
6. Return the new array.

Code to remove duplicates from a sorted array

C++ Program
#include<iostream> 
using namespace std; 
  
int deleteDuplicates(int a[], int n){ 
    if(n==0 || n==1) 
            return n; 
       
    int temp = 0; 
      
    for (int i=0; i<n-1; i++) 
        // If current element is not equal 
        // to next element then store it 
        // at index temp in array
        if (a[i] != a[i+1]) 
            a[temp++] = a[i]; 
      
    // Store the last element 
    a[temp++] = a[n-1];    
    return temp;  
} 
int main(){ 
    int a[] = {1, 2, 2, 3, 4, 4, 9}; 
    int n = sizeof(a) / sizeof(a[0]); 
    n = deleteDuplicates(a, n); 
    for (int i=0; i<n; i++) 
       cout<<a[i]<<" "; 
    return 0; 
}
1 2 3 4 9
Java Program
class delete{ 
    
    static int deleteDuplicates(int a[], int n){ 
        if(n==0 || n==1) 
            return n; 
       
        int temp = 0; 
          
        // Start traversing elements 
        for (int i=0; i<n-1; i++) 
            // If current element is not equal 
            // to next element then store it 
            // at index temp in array
            if (a[i] != a[i+1]) 
                a[temp++] = a[i]; 
          
        // Store the last element 
        a[temp++] = a[n-1];    
        return temp; 
    } 
      
    public static void main (String[] args)  
    { 
        int a[]={1, 2, 2, 3, 4, 4, 9}; 
        int n = a.length; 
        n = deleteDuplicates(a, n); 
        for (int i=0; i<n; i++) 
           System.out.print(a[i]+" "); 
    } 
}
1 2 3 4 9

Complexity Analysis

Time Complexity

O(N), we have traversed the array having N elements thus the algorithm has linear complexity solution.

READ  Sort Colors
Space Complexity

O(1), because we have used only constant space and we have updated the initial input array instead of creating a new one.

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